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CVPR
2012
IEEE
13 years 7 months ago
Mode-seeking on graphs via random walks
Mode-seeking has been widely used as a powerful data analysis technique for clustering and filtering in a metric feature space. We introduce a versatile and efficient modeseekin...
Minsu Cho, Kyoung Mu Lee
BMCV
2000
Springer
15 years 9 months ago
Unsupervised Learning of Biologically Plausible Object Recognition Strategies
Recent psychological and neurological evidence suggests that biological object recognition is a process of matching sensed images to stored iconic memories. This paper presents a p...
Bruce A. Draper, Kyungim Baek
RSS
2007
129views Robotics» more  RSS 2007»
15 years 6 months ago
Spatially-Adaptive Learning Rates for Online Incremental SLAM
— Several recent algorithms have formulated the SLAM problem in terms of non-linear pose graph optimization. These algorithms are attractive because they offer lower computationa...
Edwin Olson, John J. Leonard, Seth J. Teller
AIED
2007
Springer
15 years 11 months ago
Choosing Reading Passages for Vocabulary Learning by Topic to Increase Intrinsic Motivation
: Intrinsic motivation has been shown in previous research to lead to better learning. In order to increase intrinsic motivation, REAP, a tutoring system for ESL vocabulary was enh...
Michael Heilman, Alan Juffs, Maxine Eskenazi
ICDM
2006
IEEE
176views Data Mining» more  ICDM 2006»
15 years 10 months ago
Razor: mining distance-constrained embedded subtrees
Due to their capability for expressing semantics and relationships among data objects, semi-structured documents have become a common way of representing domain knowledge. Compari...
Henry Tan, Tharam S. Dillon, Fedja Hadzic, Elizabe...